A Research on Power Splitting Strategy for Hybrid Energy Storage System Based on Driving Condition Prediction

被引：0
|
作者：
Wang F. [1 ]
Luo Y. [1 ]
机构：
[1] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou
来源：
Qiche Gongcheng/Automotive Engineering | 2019年 / 41卷 / 11期
关键词：
Adaptive neural fuzzy control; Driving condition prediction; Hybrid energy storage system; Power splitting strategy;
D O I：
10.19562/j.chinasae.qcgc.2019.011.004
中图分类号：
学科分类号：
摘要：
In this paper, an adaptive neural fuzzy control power splitting strategy for hybrid energy storage system is proposed based on driving condition prediction. Markov chain model is adopted to predict the future driving conditions of vehicle, the vehicle speed predicted is used as one of the inputs of adaptive neural fuzzy controller, and the processing by which will get the results of power splitting. The results of experiment show that the adoption of proposed power splitting strategy with adaptive neural fuzzy control for hybrid energy storage system can significantly extend the service life of battery and reduce the overall operation cost of energy storage system. © 2019, Society of Automotive Engineers of China. All right reserved.
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页码：1251 / 1257and1264
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